aimas-upb / aimas-upb/data4water

Investigate seasonality in recorded timeseries

Aperta
#2 0 commenti 0 reazioni 2 assegnatari Rivendicata da @asorici Vedi su GitHub
Lingua principale
Python
Stelle
0
Fork
0
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

### Why
We assume that within the 3 months worth of recorded data there will be shifts in consumption behavior of a costumer.
We want to detect such shifts and extract the corresponding consumption periods to perform additional analysis over each period type.

### What
Attempt 3 approaches:
- [ ] Seasonality analysis (CT)
- concatenate all time series for each customer
- perform decomposition time series
- extract seasonal windows
- investigate seasonal component filtering options
- [ ] Investigate time series periodicity [MT]
- start from ideas [described here](https://stats.stackexchange.com/questions/1207/period-detection-of-a-generic-time-series)
- [ ] Investigate periodicity by clustering (AS)

Guida per i contributori

Nessuna guida per i contributori indicizzata per questo repository

Valutazione

Questa issue non è ancora stata valutata.

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.